{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "c4b4c116",
   "metadata": {},
   "source": [
    "# SparK: A Visualization Demo\n",
    "A demo using our pretrained SparK model to reconstruct masked images.\n",
    "The mask is whether specified by the user or randomly generated.\n",
    "\n",
    "**NOTE:** if you want to visualize your own pretrained model, you may need to modify the `IMAGENET_RGB_MEAN` and `IMAGENET_RGB_STD` below to your numbers. In Step 5, use `spark, input_size = build_spark('_withdecoder_1kpretrained_spark_style.pth')` to load your model."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d4ff1c8e",
   "metadata": {},
   "source": [
    "## 1. Preparation\n",
    "Install dependencies, specify the device, and specify the pretrained model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "f181fcb4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[DEVICE=cuda:0]\n"
     ]
    }
   ],
   "source": [
    "# install dependencies\n",
    "import sys\n",
    "if 'google.colab' in sys.modules:\n",
    "    !pip3 install -r requirements.txt\n",
    "\n",
    "# specify the device to use\n",
    "USING_GPU_IF_AVAILABLE = True\n",
    "\n",
    "import torch\n",
    "_ = torch.empty(1)\n",
    "if torch.cuda.is_available() and USING_GPU_IF_AVAILABLE:\n",
    "    _ = _.cuda()\n",
    "DEVICE = _.device\n",
    "print(f'[DEVICE={DEVICE}]')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3e451959",
   "metadata": {},
   "source": [
    "## 2. Define utils: load data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "c12b129c",
   "metadata": {},
   "outputs": [],
   "source": [
    "from PIL import Image\n",
    "import torchvision.transforms.functional as TF\n",
    "IMAGENET_RGB_MEAN = torch.tensor((0.485, 0.456, 0.406), device=DEVICE).reshape(1, 3, 1, 1)\n",
    "IMAGENET_RGB_STD = torch.tensor((0.229, 0.224, 0.225), device=DEVICE).reshape(1, 3, 1, 1)\n",
    "def load_image(size: int, img_file: str):\n",
    "    img = Image.open(img_file).convert('RGB')\n",
    "    img = TF.center_crop(TF.resize(img, size), [size, size])\n",
    "    img = TF.to_tensor(img).unsqueeze(0).to(DEVICE).sub(IMAGENET_RGB_MEAN).div_(IMAGENET_RGB_STD)\n",
    "    return img\n",
    "def denormalize(img_bchw):\n",
    "    return img_bchw.mul(IMAGENET_RGB_STD).add_(IMAGENET_RGB_MEAN).clamp_(0., 1.)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "88fb368b",
   "metadata": {},
   "source": [
    "## 3. Define utils: build a SparK model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "3ddb968b",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "from decoder import LightDecoder\n",
    "from encoder import SparseEncoder\n",
    "from models import build_sparse_encoder\n",
    "from spark import SparK\n",
    "def build_spark(your_own_pretrained_ckpt: str = ''):\n",
    "    if len(your_own_pretrained_ckpt) > 0 and os.path.exists(your_own_pretrained_ckpt):\n",
    "        all_state = torch.load(your_own_pretrained_ckpt, map_location='cpu')\n",
    "        input_size, model_name = all_state['input_size'], all_state['arch']\n",
    "        pretrained_state = all_state['module']\n",
    "        print(f\"[in function `build_spark`] your ckpt `{your_own_pretrained_ckpt}` loaded;  don't forget to modify IMAGENET_RGB_MEAN and IMAGENET_RGB_MEAN above if needed\")\n",
    "    else:\n",
    "        # download and load the checkpoint\n",
    "        input_size, model_name, file_path, ckpt_link = {\n",
    "            'ResNet50': (224, 'resnet50', 'res50_withdecoder_1kpretrained_spark_style.pth', 'https://drive.google.com/file/d/1STt3w3e5q9eCPZa8VzcJj1zG6p3jLeSF/view?usp=share_link'),\n",
    "            'ResNet101': (224, 'resnet101', 'res101_withdecoder_1kpretrained_spark_style.pth', 'https://drive.google.com/file/d/1GjN48LKtlop2YQre6---7ViCWO-3C0yr/view?usp=share_link'),\n",
    "            'ResNet152': (224, 'resnet152', 'res152_withdecoder_1kpretrained_spark_style.pth', 'https://drive.google.com/file/d/1U3Cd94j4ZHfYR2dUjWmsEWfjP6Opx4oo/view?usp=share_link'),\n",
    "            'ResNet200': (224, 'resnet200', 'res200_withdecoder_1kpretrained_spark_style.pth', 'https://drive.google.com/file/d/13AFSqvIr0v-2hmb4DzVza45t_lhf2CnD/view?usp=share_link'),\n",
    "            'ConvNeXt-S': (224, 'convnext_small', 'cnxS224_withdecoder_1kpretrained_spark_style.pth', 'https://drive.google.com/file/d/1bKvrE4sNq1PfzhWlQJXEPrl2kHqHRZM-/view?usp=share_link'),\n",
    "            'ConvNeXt-L': (384, 'convnext_large', 'cnxL384_withdecoder_1kpretrained_spark_style.pth', 'https://drive.google.com/file/d/1ZI9Jgtb3fKWE_vDFEly29w-1FWZSNwa0/view?usp=share_link')\n",
    "        }['ConvNeXt-L']  # you can choose any model here\n",
    "        assert os.path.exists(file_path), f'please download checkpoint {file_path} from {ckpt_link}'\n",
    "        pretrained_state = torch.load(file_path, map_location='cpu')\n",
    "        if 'module' in pretrained_state:\n",
    "            pretrained_state = pretrained_state['module']\n",
    "\n",
    "    # build a SparK model\n",
    "    config = pretrained_state['config']\n",
    "    enc: SparseEncoder = build_sparse_encoder(model_name, input_size=input_size)\n",
    "    spark = SparK(\n",
    "        sparse_encoder=enc, dense_decoder=LightDecoder(enc.downsample_raito, sbn=False),\n",
    "        mask_ratio=config['mask_ratio'], densify_norm=config['densify_norm_str'], sbn=config['sbn'],\n",
    "    ).to(DEVICE)\n",
    "    spark.eval(), [p.requires_grad_(False) for p in spark.parameters()]\n",
    "    \n",
    "    # load the checkpoint\n",
    "    missing, unexpected = spark.load_state_dict(pretrained_state, strict=False)\n",
    "    assert len(missing) == 0, f'load_state_dict missing keys: {missing}'\n",
    "    assert len(unexpected) == 0, f'load_state_dict unexpected keys: {unexpected}'\n",
    "    del pretrained_state\n",
    "    return spark, input_size\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "986fb2b3",
   "metadata": {},
   "source": [
    "## 4. Define utils: visualize"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "ee8e3dc9",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "def show(spark: SparK, size: int, img_file='viz_imgs/recon.png', active_b1ff: torch.BoolTensor = None):\n",
    "    inp_bchw = load_image(size, img_file)\n",
    "    spark.forward\n",
    "    inp_bchw, masked_bchw, rec_or_inp = spark(inp_bchw, active_b1ff=active_b1ff, vis=True)\n",
    "    # plot these three images in a row\n",
    "    masked_title = 'rand masked' if active_b1ff is None else 'specified masked'\n",
    "    for col, (title, bchw) in enumerate(zip(['input', masked_title, 'reconstructed'], [inp_bchw, masked_bchw, rec_or_inp])):\n",
    "        plt.subplot2grid((1, 3), (0, col))\n",
    "        plt.imshow(denormalize(bchw)[0].permute(1, 2, 0).cpu().numpy())\n",
    "        plt.title(title)\n",
    "        plt.axis('off')\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5b8b8f49",
   "metadata": {},
   "source": [
    "## 5. Run SparK with a specified mask"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "spark, input_size = build_spark()\n",
    "# for visualizing your own pretrained model of '<model_name>_withdecoder_1kpretrained_spark_style.pth', run:\n",
    "# spark, input_size = build_spark('<model_name>_withdecoder_1kpretrained_spark_style.pth')"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "f405a28d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# specify the mask\n",
    "if input_size == 384:\n",
    "    active_b1ff = torch.tensor([\n",
    "        [0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0],\n",
    "        [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n",
    "        [0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0],\n",
    "        [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n",
    "        [1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0],\n",
    "        [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n",
    "        [0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0],\n",
    "        [0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0],\n",
    "        [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0],\n",
    "        [0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0],\n",
    "        [1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0],\n",
    "        [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0],\n",
    "    ], device=DEVICE).bool().reshape(1, 1, 12, 12)\n",
    "elif input_size == 224:\n",
    "    active_b1ff = torch.tensor([\n",
    "        [0, 0, 0, 0, 0, 0, 0],\n",
    "        [1, 0, 0, 0, 0, 0, 1],\n",
    "        [0, 0, 0, 0, 0, 1, 0],\n",
    "        [0, 0, 0, 0, 0, 0, 0],\n",
    "        [1, 0, 1, 0, 1, 0, 0],\n",
    "        [0, 0, 0, 0, 0, 1, 0],\n",
    "        [0, 0, 0, 1, 0, 0, 0],\n",
    "    ], device=DEVICE).bool().reshape(1, 1, 7, 7)\n",
    "else:\n",
    "    raise NotImplementedError('define your mask for other input_size')\n",
    "\n",
    "show(spark, input_size, 'viz_imgs/recon.png', active_b1ff=active_b1ff)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6e80826f",
   "metadata": {},
   "source": [
    "## 6. Run SparK with a random mask"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e5c22039",
   "metadata": {},
   "outputs": [],
   "source": [
    "# use a random mask (don't specify the mask)\n",
    "show(spark, input_size, 'viz_imgs/recon.png', active_b1ff=None)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
